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Epoch 47/200 |
45/45 [==============================] - 23s 519ms/step - loss: 0.3136 - sparse_categorical_accuracy: 0.8708 - val_loss: 0.3945 - val_sparse_categorical_accuracy: 0.8363 |
Epoch 48/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.3122 - sparse_categorical_accuracy: 0.8764 - val_loss: 0.3925 - val_sparse_categorical_accuracy: 0.8350 |
Epoch 49/200 |
45/45 [==============================] - 23s 519ms/step - loss: 0.3035 - sparse_categorical_accuracy: 0.8826 - val_loss: 0.3906 - val_sparse_categorical_accuracy: 0.8308 |
Epoch 50/200 |
45/45 [==============================] - 23s 512ms/step - loss: 0.2994 - sparse_categorical_accuracy: 0.8823 - val_loss: 0.3888 - val_sparse_categorical_accuracy: 0.8377 |
Epoch 51/200 |
45/45 [==============================] - 23s 514ms/step - loss: 0.3023 - sparse_categorical_accuracy: 0.8781 - val_loss: 0.3862 - val_sparse_categorical_accuracy: 0.8391 |
Epoch 52/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.3012 - sparse_categorical_accuracy: 0.8833 - val_loss: 0.3854 - val_sparse_categorical_accuracy: 0.8350 |
Epoch 53/200 |
45/45 [==============================] - 23s 513ms/step - loss: 0.2890 - sparse_categorical_accuracy: 0.8837 - val_loss: 0.3837 - val_sparse_categorical_accuracy: 0.8363 |
Epoch 54/200 |
45/45 [==============================] - 23s 513ms/step - loss: 0.2931 - sparse_categorical_accuracy: 0.8858 - val_loss: 0.3809 - val_sparse_categorical_accuracy: 0.8433 |
Epoch 55/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2867 - sparse_categorical_accuracy: 0.8885 - val_loss: 0.3784 - val_sparse_categorical_accuracy: 0.8447 |
Epoch 56/200 |
45/45 [==============================] - 23s 511ms/step - loss: 0.2731 - sparse_categorical_accuracy: 0.8986 - val_loss: 0.3756 - val_sparse_categorical_accuracy: 0.8488 |
Epoch 57/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2754 - sparse_categorical_accuracy: 0.8955 - val_loss: 0.3759 - val_sparse_categorical_accuracy: 0.8474 |
Epoch 58/200 |
45/45 [==============================] - 23s 511ms/step - loss: 0.2775 - sparse_categorical_accuracy: 0.8976 - val_loss: 0.3704 - val_sparse_categorical_accuracy: 0.8474 |
Epoch 59/200 |
45/45 [==============================] - 23s 513ms/step - loss: 0.2770 - sparse_categorical_accuracy: 0.9000 - val_loss: 0.3698 - val_sparse_categorical_accuracy: 0.8558 |
Epoch 60/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.2688 - sparse_categorical_accuracy: 0.8965 - val_loss: 0.3697 - val_sparse_categorical_accuracy: 0.8502 |
Epoch 61/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2716 - sparse_categorical_accuracy: 0.8972 - val_loss: 0.3710 - val_sparse_categorical_accuracy: 0.8405 |
Epoch 62/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2635 - sparse_categorical_accuracy: 0.9087 - val_loss: 0.3656 - val_sparse_categorical_accuracy: 0.8488 |
Epoch 63/200 |
45/45 [==============================] - 23s 520ms/step - loss: 0.2596 - sparse_categorical_accuracy: 0.8979 - val_loss: 0.3654 - val_sparse_categorical_accuracy: 0.8488 |
Epoch 64/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2586 - sparse_categorical_accuracy: 0.9062 - val_loss: 0.3634 - val_sparse_categorical_accuracy: 0.8530 |
Epoch 65/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.2491 - sparse_categorical_accuracy: 0.9139 - val_loss: 0.3591 - val_sparse_categorical_accuracy: 0.8530 |
Epoch 66/200 |
45/45 [==============================] - 23s 519ms/step - loss: 0.2600 - sparse_categorical_accuracy: 0.9017 - val_loss: 0.3621 - val_sparse_categorical_accuracy: 0.8516 |
Epoch 67/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2465 - sparse_categorical_accuracy: 0.9156 - val_loss: 0.3608 - val_sparse_categorical_accuracy: 0.8488 |
Epoch 68/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2502 - sparse_categorical_accuracy: 0.9101 - val_loss: 0.3557 - val_sparse_categorical_accuracy: 0.8627 |
Epoch 69/200 |
45/45 [==============================] - 23s 517ms/step - loss: 0.2418 - sparse_categorical_accuracy: 0.9104 - val_loss: 0.3561 - val_sparse_categorical_accuracy: 0.8502 |
Epoch 70/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.2463 - sparse_categorical_accuracy: 0.9049 - val_loss: 0.3554 - val_sparse_categorical_accuracy: 0.8613 |
Epoch 71/200 |
45/45 [==============================] - 23s 520ms/step - loss: 0.2372 - sparse_categorical_accuracy: 0.9177 - val_loss: 0.3548 - val_sparse_categorical_accuracy: 0.8627 |
Epoch 72/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2365 - sparse_categorical_accuracy: 0.9118 - val_loss: 0.3528 - val_sparse_categorical_accuracy: 0.8655 |
Epoch 73/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2420 - sparse_categorical_accuracy: 0.9083 - val_loss: 0.3510 - val_sparse_categorical_accuracy: 0.8655 |
Epoch 74/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2342 - sparse_categorical_accuracy: 0.9205 - val_loss: 0.3478 - val_sparse_categorical_accuracy: 0.8669 |
Epoch 75/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2337 - sparse_categorical_accuracy: 0.9062 - val_loss: 0.3484 - val_sparse_categorical_accuracy: 0.8655 |
Epoch 76/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.2298 - sparse_categorical_accuracy: 0.9153 - val_loss: 0.3478 - val_sparse_categorical_accuracy: 0.8585 |
Epoch 77/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.2218 - sparse_categorical_accuracy: 0.9243 - val_loss: 0.3467 - val_sparse_categorical_accuracy: 0.8613 |
Epoch 78/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2352 - sparse_categorical_accuracy: 0.9083 - val_loss: 0.3431 - val_sparse_categorical_accuracy: 0.8641 |
Epoch 79/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2218 - sparse_categorical_accuracy: 0.9194 - val_loss: 0.3448 - val_sparse_categorical_accuracy: 0.8613 |
Epoch 80/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2246 - sparse_categorical_accuracy: 0.9198 - val_loss: 0.3417 - val_sparse_categorical_accuracy: 0.8682 |
Epoch 81/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2168 - sparse_categorical_accuracy: 0.9201 - val_loss: 0.3397 - val_sparse_categorical_accuracy: 0.8641 |
Epoch 82/200 |
45/45 [==============================] - 23s 517ms/step - loss: 0.2254 - sparse_categorical_accuracy: 0.9153 - val_loss: 0.3373 - val_sparse_categorical_accuracy: 0.8682 |
Epoch 83/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2230 - sparse_categorical_accuracy: 0.9194 - val_loss: 0.3391 - val_sparse_categorical_accuracy: 0.8655 |
Epoch 84/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2124 - sparse_categorical_accuracy: 0.9240 - val_loss: 0.3370 - val_sparse_categorical_accuracy: 0.8682 |
Epoch 85/200 |
45/45 [==============================] - 23s 515ms/step - loss: 0.2123 - sparse_categorical_accuracy: 0.9278 - val_loss: 0.3394 - val_sparse_categorical_accuracy: 0.8571 |
Epoch 86/200 |
45/45 [==============================] - 23s 520ms/step - loss: 0.2119 - sparse_categorical_accuracy: 0.9260 - val_loss: 0.3355 - val_sparse_categorical_accuracy: 0.8627 |
Epoch 87/200 |
45/45 [==============================] - 23s 517ms/step - loss: 0.2052 - sparse_categorical_accuracy: 0.9247 - val_loss: 0.3353 - val_sparse_categorical_accuracy: 0.8738 |
Epoch 88/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.2089 - sparse_categorical_accuracy: 0.9299 - val_loss: 0.3342 - val_sparse_categorical_accuracy: 0.8779 |
Epoch 89/200 |
45/45 [==============================] - 23s 519ms/step - loss: 0.2027 - sparse_categorical_accuracy: 0.9250 - val_loss: 0.3353 - val_sparse_categorical_accuracy: 0.8793 |
Epoch 90/200 |
45/45 [==============================] - 23s 517ms/step - loss: 0.2110 - sparse_categorical_accuracy: 0.9264 - val_loss: 0.3320 - val_sparse_categorical_accuracy: 0.8752 |
Epoch 91/200 |
45/45 [==============================] - 23s 516ms/step - loss: 0.1965 - sparse_categorical_accuracy: 0.9292 - val_loss: 0.3339 - val_sparse_categorical_accuracy: 0.8710 |
Epoch 92/200 |
45/45 [==============================] - 23s 520ms/step - loss: 0.2030 - sparse_categorical_accuracy: 0.9253 - val_loss: 0.3296 - val_sparse_categorical_accuracy: 0.8752 |
Epoch 93/200 |
45/45 [==============================] - 23s 519ms/step - loss: 0.1969 - sparse_categorical_accuracy: 0.9347 - val_loss: 0.3298 - val_sparse_categorical_accuracy: 0.8807 |
Epoch 94/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.1939 - sparse_categorical_accuracy: 0.9295 - val_loss: 0.3300 - val_sparse_categorical_accuracy: 0.8779 |
Epoch 95/200 |
45/45 [==============================] - 23s 517ms/step - loss: 0.1930 - sparse_categorical_accuracy: 0.9330 - val_loss: 0.3305 - val_sparse_categorical_accuracy: 0.8766 |
Epoch 96/200 |
45/45 [==============================] - 23s 518ms/step - loss: 0.1946 - sparse_categorical_accuracy: 0.9288 - val_loss: 0.3288 - val_sparse_categorical_accuracy: 0.8669 |
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